Triple
T17497108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferrolterra |
E426091
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Moeche
Moeche is a small rural municipality in the Ferrolterra region of Galicia, Spain, known for its medieval castle and traditional Galician countryside.
|
E1271880
|
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: Moeche | Statement: [Ferrolterra, hasMunicipality, Moeche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moeche Context triple: [Ferrolterra, hasMunicipality, Moeche]
-
A.
Talagante
Talagante is a commune and town in central Chile, located southwest of Santiago within the Santiago Metropolitan Region.
-
B.
Tsankawi
Tsankawi is an archaeological site and mesa-top trail area in New Mexico known for its ancestral Puebloan ruins, petroglyphs, and well-worn footpaths carved into volcanic tuff.
-
C.
Khorixas
Khorixas is a small town in northwestern Namibia that serves as an administrative and commercial center for the surrounding Kunene Region.
-
D.
Kamares
Kamares is a well-preserved Ottoman-era aqueduct in Kavala, Greece, and one of the city’s most recognizable landmarks.
-
E.
Kamares
Kamares is the main port village of the Greek island of Siphnos, known for its sandy beach, waterfront tavernas, and role as the island’s primary gateway.
- 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: Moeche Triple: [Ferrolterra, hasMunicipality, Moeche]
Generated description
Moeche is a small rural municipality in the Ferrolterra region of Galicia, Spain, known for its medieval castle and traditional Galician countryside.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Moeche Target entity description: Moeche is a small rural municipality in the Ferrolterra region of Galicia, Spain, known for its medieval castle and traditional Galician countryside.
-
A.
Talagante
Talagante is a commune and town in central Chile, located southwest of Santiago within the Santiago Metropolitan Region.
-
B.
Tsankawi
Tsankawi is an archaeological site and mesa-top trail area in New Mexico known for its ancestral Puebloan ruins, petroglyphs, and well-worn footpaths carved into volcanic tuff.
-
C.
Khorixas
Khorixas is a small town in northwestern Namibia that serves as an administrative and commercial center for the surrounding Kunene Region.
-
D.
Kamares
Kamares is a well-preserved Ottoman-era aqueduct in Kavala, Greece, and one of the city’s most recognizable landmarks.
-
E.
Kamares
Kamares is the main port village of the Greek island of Siphnos, known for its sandy beach, waterfront tavernas, and role as the island’s primary gateway.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4520f6790819092c36e0e4ecc4cd3 |
completed | April 19, 2026, 3:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01c204c53c81909a9b3543bccc4fae |
completed | May 11, 2026, 11:48 a.m. |
| NEDg | Description generation | batch_6a01c3112120819088d102c341aab170 |
completed | May 11, 2026, 11:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01c38e58e08190a1fc3a3e1738d6b0 |
completed | May 11, 2026, 11:54 a.m. |
Created at: April 10, 2026, 5:48 a.m.