Triple
T38056555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adirondack fire tower system |
E950218
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Kane Mountain fire tower
Kane Mountain fire tower is a historic steel lookout tower in New York’s southern Adirondacks, popular for its short hike and panoramic views of the surrounding lakes and forests.
|
E2266320
|
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: Kane Mountain fire tower | Statement: [Adirondack fire tower system, hasPart, Kane Mountain fire tower]
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: Kane Mountain fire tower Triple: [Adirondack fire tower system, hasPart, Kane Mountain fire tower]
Generated description
Kane Mountain fire tower is a historic steel lookout tower in New York’s southern Adirondacks, popular for its short hike and panoramic views of the surrounding lakes and forests.
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_69f76f01e63c819093b6012fc974f35a |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbca034edc819089422ed2e230523d |
completed | May 6, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41a7cfc2a88190b866e951f9351610 |
completed | June 28, 2026, 11:01 p.m. |
| NEDg | Description generation | batch_6a41a9de5b308190b71a12daac86b8c9 |
completed | June 28, 2026, 11:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a41aa79b55481909625f4b717c1a10b |
completed | June 28, 2026, 11:12 p.m. |
Created at: May 3, 2026, 4:21 p.m.