Triple
T5672261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pol Antràs |
E125005
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Pol |
E24026
|
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: Pol | Statement: [Pol Antràs, givenName, Pol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pol Context triple: [Pol Antràs, givenName, Pol]
-
A.
Pol
chosen
Pol is a given name and variant of Paul, used in several European languages such as Catalan and French.
-
B.
Pal
Pal is an Indian surname notably borne by Bipin Chandra Pal, a prominent nationalist leader in the Indian independence movement.
-
C.
Po
The Po is Italy’s longest and most important river, flowing eastward across northern Italy from the Alps to the Adriatic Sea.
-
D.
POL
POL is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Poland in international standards and data systems.
-
E.
Phil
Phil is a masculine given name, often a shortened form of Philip or Phillip, used in English-speaking countries.
- 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_69c008295c808190acfe78915e7d656a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0236e8dc48190b4eb7709a258909f |
completed | March 22, 2026, 5:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07dc5d8b08190b4646853f68beb62 |
completed | March 22, 2026, 11:39 p.m. |
Created at: March 22, 2026, 3:43 p.m.