Triple
T14653063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tirat Carmel |
E344037
|
entity |
| Predicate | hasNeighboringSettlement |
P63834
|
FINISHED |
| Object | Atlit |
E982856
|
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: Atlit | Statement: [Tirat Carmel, hasNeighboringSettlement, Atlit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atlit Context triple: [Tirat Carmel, hasNeighboringSettlement, Atlit]
-
A.
Atlit
chosen
Atlit is a coastal town in northern Israel known for its Crusader-era fortress, detention camp museum, and proximity to Haifa.
-
B.
Atleti
Atleti is the commonly used nickname for Atlético de Madrid, a major Spanish professional football club based in Madrid.
-
C.
Athleague
Athleague is a small village in County Roscommon, Ireland, known for its rural setting and location near the River Suck.
-
D.
Bowerman
Bowerman is a surname most prominently associated with Bill Bowerman, the legendary American track coach and co-founder of Nike.
-
E.
The Athletes
The Athletes are the backing band that frequently collaborates with Scottish folk musician James Yorkston, contributing to his richly arranged, contemporary folk sound.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb518f7dc8190877997ea4cd3eed2 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5db85648190b0e5b1c0827fa9f4 |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:27 a.m.