Triple
T26679349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tripyramid massif |
E672561
|
entity |
| Predicate | hasNotableTrailhead |
P62103
|
FINISHED |
| Object |
Livermore Trailhead
Livermore Trailhead is a primary hiking access point in New Hampshire’s White Mountains, commonly used to reach the Tripyramid massif and surrounding backcountry trails.
|
E1736393
|
NE FINISHED |
How this triple was built (3 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: Livermore Trailhead | Statement: [Tripyramid massif, hasNotableTrailhead, Livermore Trailhead]
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: Livermore Trailhead Triple: [Tripyramid massif, hasNotableTrailhead, Livermore Trailhead]
Generated description
Livermore Trailhead is a primary hiking access point in New Hampshire’s White Mountains, commonly used to reach the Tripyramid massif and surrounding backcountry trails.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableTrailhead Context triple: [Tripyramid massif, hasNotableTrailhead, Livermore Trailhead]
-
A.
hasTrailheads
chosen
Indicates that one location or area contains or provides access points where trails begin.
-
B.
hasTrailheadAt
Indicates that a trail or route begins or has its official starting point at a specified location.
-
C.
hasOfficialTrailhead
Indicates that a location or route is associated with a formally designated and recognized starting point for a trail.
-
D.
hasTrailheadFacility
Indicates that a location provides a designated starting-point facility or infrastructure for accessing a trail.
-
E.
hasTrailheadSignage
Indicates that a trailhead is equipped with signage providing information or guidance to users.
- F. None of above.
Provenance (6 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_69eecda13424819092b17942c4edf722 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69fdd07a34c08190982b8c61c2775cf6 |
completed | May 8, 2026, noon |
| NED1 | Entity disambiguation (via context triple) | batch_6a11ec566c2081908868297ff736c4be |
completed | May 23, 2026, 6:05 p.m. |
| NEDg | Description generation | batch_6a11f564de4c8190bc22d25b3d4c4409 |
completed | May 23, 2026, 6:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a11f5e3885c8190956b1d8fad1fb744 |
completed | May 23, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69fdbd25c7908190b72fca8de7ce503f |
completed | May 8, 2026, 10:38 a.m. |
Created at: April 27, 2026, 3:18 a.m.