Triple
T17150716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arinsal |
E416212
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Pal |
E1252103
|
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: Pal | Statement: [Arinsal, near, Pal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pal Context triple: [Arinsal, near, Pal]
-
A.
Pal
Pal is an Indian surname notably borne by Bipin Chandra Pal, a prominent nationalist leader in the Indian independence movement.
-
B.
Pal
chosen
Pal is a small mountain village in the parish of La Massana in Andorra, known for its traditional stone-and-wood architecture and nearby ski slopes.
-
C.
PAL
PAL is the European and other non-NTSC television broadcast standard that defined video format and regional compatibility for systems like the Game Boy Player.
-
D.
PAL
PAL is the ICAO airline designator for Philippine Airlines, the flag carrier of the Philippines.
-
E.
Pol
Pol is a given name and variant of Paul, used in several European languages such as Catalan and French.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f4067470819084aa233c4c4a6d4f |
completed | April 18, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0148337a348190b8739eb3f553f1d9 |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:36 a.m.