Triple
T17769625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lungsod ng Pasig |
E443596
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object |
Pasiguenian
A Pasiguenian is a resident or native of Pasig City in the Philippines.
|
E1286936
|
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: Pasiguenian | Statement: [Lungsod ng Pasig, hasDemonym, Pasiguenian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pasiguenian Context triple: [Lungsod ng Pasig, hasDemonym, Pasiguenian]
-
A.
Sissanese
Sissanese is a local variety of the Istriot language traditionally spoken in and around the town of Sissano in the Istrian region.
-
B.
Segestani
The Segestani were an ancient Illyrian tribe that inhabited the region around the city of Siscia in what is now central Croatia.
-
C.
Pulandian
Pulandian is a county-level city administered by Dalian in Liaoning Province, northeastern China, known for its coastal location and mixed industrial-agricultural economy.
-
D.
Palaungic
Palaungic is a branch of the Austroasiatic language family comprising several related languages spoken primarily in parts of Myanmar, China, Laos, and Thailand.
-
E.
Paupisi
Paupisi is a small Italian municipality located in the Campania region, known for its rural character and proximity to the city of Benevento.
- 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: Pasiguenian Triple: [Lungsod ng Pasig, hasDemonym, Pasiguenian]
Generated description
A Pasiguenian is a resident or native of Pasig City in the Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pasiguenian Target entity description: A Pasiguenian is a resident or native of Pasig City in the Philippines.
-
A.
Sissanese
Sissanese is a local variety of the Istriot language traditionally spoken in and around the town of Sissano in the Istrian region.
-
B.
Segestani
The Segestani were an ancient Illyrian tribe that inhabited the region around the city of Siscia in what is now central Croatia.
-
C.
Pulandian
Pulandian is a county-level city administered by Dalian in Liaoning Province, northeastern China, known for its coastal location and mixed industrial-agricultural economy.
-
D.
Palaungic
Palaungic is a branch of the Austroasiatic language family comprising several related languages spoken primarily in parts of Myanmar, China, Laos, and Thailand.
-
E.
Paupisi
Paupisi is a small Italian municipality located in the Campania region, known for its rural character and proximity to the city of Benevento.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e485fe70648190b4107e1eabacc694 |
completed | April 19, 2026, 7:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02efc35a048190886bb5ffb5ab708a |
completed | May 12, 2026, 9:15 a.m. |
| NEDg | Description generation | batch_6a02f096fc648190a1ff19f2704a4cef |
completed | May 12, 2026, 9:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02f1d0a4708190bbf51356da7e965e |
completed | May 12, 2026, 9:24 a.m. |
Created at: April 10, 2026, 10:11 a.m.