Triple
T4935671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philistines |
E110804
|
entity |
| Predicate | ethnonymAttestedIn |
P60488
|
FINISHED |
| Object | Egyptian inscriptions (as Peleset) |
—
|
LITERAL 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: Egyptian inscriptions (as Peleset) | Statement: [Philistines, ethnonymAttestedIn, Egyptian inscriptions (as Peleset)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnonymAttestedIn Context triple: [Philistines, ethnonymAttestedIn, Egyptian inscriptions (as Peleset)]
-
A.
ethnonymInLanguage
Indicates that a given term is the name used in a specified language to refer to the people of a particular ethnic group or nationality.
-
B.
ethnonym
Indicates that one entity is the name of an ethnic group used to refer to the people associated with another entity.
-
C.
hasEthnonymCountry
Indicates that an ethnonym (a name for an ethnic group or people) is associated with or pertains to a specific country.
-
D.
ethnicEponymOf
Indicates that one term is an eponym derived from or naming an ethnic group or people.
-
E.
hasEthnonymMeaning
Indicates that one entity is the meaning or semantic interpretation of an ethnonym (a name for an ethnic group) associated with another entity.
- F. None of above. chosen
Provenance (4 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_69bd4415eee08190bdce70276e56a5b4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd706825188190b854dca5ca2f9db6 |
completed | March 20, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69bd6c389b9881908ad7fb1c5393c1b1 |
completed | March 20, 2026, 3:48 p.m. |
| PDg | Predicate description generation | batch_69bd6ff731188190a9903602122d4ff9 |
completed | March 20, 2026, 4:04 p.m. |
Created at: March 20, 2026, 1:30 p.m.