Triple
T25046222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gilmanton, New Hampshire |
E627247
|
entity |
| Predicate | hasHistoricDistrict |
P295
|
FINISHED |
| Object |
Gilmanton Ironworks Historic District
Gilmanton Ironworks Historic District is a historically significant area in Gilmanton, New Hampshire, known for its 19th-century industrial and village architecture associated with early iron production.
|
E1662847
|
NE FINISHED |
How this triple was built (2 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: Gilmanton Ironworks Historic District | Statement: [Gilmanton, New Hampshire, hasHistoricDistrict, Gilmanton Ironworks Historic District]
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: Gilmanton Ironworks Historic District Triple: [Gilmanton, New Hampshire, hasHistoricDistrict, Gilmanton Ironworks Historic District]
Generated description
Gilmanton Ironworks Historic District is a historically significant area in Gilmanton, New Hampshire, known for its 19th-century industrial and village architecture associated with early iron production.
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_69e2ff2b4c80819087c916b2b16241b9 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f4549babc88190a435ab329bc017f0 |
completed | May 1, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1048c6e8ac8190969c0bd226b80497 |
completed | May 22, 2026, 12:15 p.m. |
| NEDg | Description generation | batch_6a104a450fe08190bb6f266341f1f595 |
completed | May 22, 2026, 12:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a104bbb9b6c81908fcc21c8c027b9de |
completed | May 22, 2026, 12:27 p.m. |
Created at: April 18, 2026, 6:08 a.m.