Triple
T7373171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Mountains |
E170057
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Deep Gap |
E608767
|
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: Deep Gap | Statement: [Black Mountains, contains, Deep Gap]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deep Gap Context triple: [Black Mountains, contains, Deep Gap]
-
A.
Deep Gap
chosen
Deep Gap is a mountain pass in the Appalachian region of North Carolina, commonly used as an access point for hiking routes such as the Deep Gap Trail.
-
B.
Gap
Gap is a major American clothing and accessories retailer known for its casual, minimalist style and global high-street presence.
-
C.
Gap
Gap is a town in southeastern France, known as the capital of the Hautes-Alpes department and a gateway to the French Alps.
-
D.
Everything in Between
"Everything in Between" is a 2010 studio album by the Los Angeles punk rock band No Age, known for its blend of noise, punk, and experimental indie sounds.
-
E.
Dig Deep
"Dig Deep" is a song included on the album "Bombshell."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c68a5bfaac81909ce7f001dfb70c76 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1a50898819087097a64e09e19eb |
completed | March 27, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802caa9988190bdc0ed5d5dd15979 |
completed | March 28, 2026, 4:33 p.m. |
Created at: March 27, 2026, 3:07 p.m.