Triple
T17647631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ἱππών βασιλικός |
E429401
|
entity |
| Predicate | earliestKnownAs |
P20952
|
FINISHED |
| Object | Phoenician settlement |
—
|
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: Phoenician settlement | Statement: [Ἱππών βασιλικός, earliestKnownAs, Phoenician settlement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earliestKnownAs Context triple: [Ἱππών βασιλικός, earliestKnownAs, Phoenician settlement]
-
A.
earliestRecordedAs
Indicates the earliest known time or source at which the subject is documented or identified as having a particular status, name, or role.
-
B.
earliestKnownPeriod
Indicates the earliest historical or temporal period in which the subject is known or documented to have existed, occurred, or been relevant.
-
C.
earliestKnownHolder
Indicates that the subject is the first known entity in time to have possessed, held, or been assigned the object.
-
D.
ancientNameOf
chosen
Indicates that one entity is the historical or ancient name by which the other entity was formerly known.
-
E.
historicallyRecognizedAs
Indicates that an entity has been acknowledged or designated under a particular name, status, or role during a past historical period.
- F. None of above.
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_69d889e2c2608190b762e76d9b2262f1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46e3a5ad8819085d4bef669fc3152 |
completed | April 19, 2026, 5:55 a.m. |
| PD | Predicate disambiguation | batch_69e3cddc87188190ac2f049b86038676 |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 6:05 a.m.