Triple
T20025553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Leyte |
E494972
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Sta. Fe
Sta. Fe is a municipality in the province of Leyte in the Philippines, known as a small local government unit within the Eastern Visayas region.
|
E1407529
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Sta. Fe | Statement: [Province of Leyte, hasMunicipality, Sta. Fe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sta. Fe Context triple: [Province of Leyte, hasMunicipality, Sta. Fe]
-
A.
Santa Mesa
Santa Mesa is a historic district in Manila, Philippines, known for its role as a key battleground during the early stages of the Philippine–American War.
-
B.
San Francisco de los Romo
San Francisco de los Romo is a municipality in the Mexican state of Aguascalientes, known for its growing industrial activity and proximity to the state capital.
-
C.
Santa Bárbara
Santa Bárbara is a civil parish within the municipality of Ponta Delgada in the Azores, Portugal.
-
D.
Santa Bárbara
Santa Bárbara is a locality within the Mexican state of Nueva Vizcaya, historically part of New Spain in the colonial era.
-
E.
Santa Bárbara
Santa Bárbara is a small Chilean town in the Biobío Region known for its rural character and proximity to the Biobío River and surrounding forests.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sta. Fe Triple: [Province of Leyte, hasMunicipality, Sta. Fe]
Generated description
Sta. Fe is a municipality in the province of Leyte in the Philippines, known as a small local government unit within the Eastern Visayas region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sta. Fe Target entity description: Sta. Fe is a municipality in the province of Leyte in the Philippines, known as a small local government unit within the Eastern Visayas region.
-
A.
Santa Mesa
Santa Mesa is a historic district in Manila, Philippines, known for its role as a key battleground during the early stages of the Philippine–American War.
-
B.
San Francisco de los Romo
San Francisco de los Romo is a municipality in the Mexican state of Aguascalientes, known for its growing industrial activity and proximity to the state capital.
-
C.
Santa Bárbara
Santa Bárbara is a civil parish within the municipality of Ponta Delgada in the Azores, Portugal.
-
D.
Santa Bárbara
Santa Bárbara is a small Chilean town in the Biobío Region known for its rural character and proximity to the Biobío River and surrounding forests.
-
E.
Santa Bárbara
Santa Bárbara is a locality within the Mexican state of Nueva Vizcaya, historically part of New Spain in the colonial era.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6628d5b8c8190a35f95ac4a016550 |
completed | April 20, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a080e2f549c8190b04f8470fbb63a0c |
completed | May 16, 2026, 6:26 a.m. |
| NEDg | Description generation | batch_6a080f393dc0819093fec526d1b51dac |
completed | May 16, 2026, 6:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0810234a788190b329c55e553b365e |
completed | May 16, 2026, 6:35 a.m. |
Created at: April 11, 2026, 3:35 p.m.