Triple
T15477598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alashiya |
E376824
|
entity |
| Predicate | hadDiplomaticRelationsWith |
P15536
|
FINISHED |
| Object | Hatti |
E203755
|
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: Hatti | Statement: [Alashiya, hadDiplomaticRelationsWith, Hatti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hatti Context triple: [Alashiya, hadDiplomaticRelationsWith, Hatti]
-
A.
Hatti
chosen
Hatti was an ancient Anatolian kingdom and cultural region centered in central Turkey, later absorbed into the Hittite Empire.
-
B.
Kaneš
Kaneš was an important ancient Anatolian city, known as a major Assyrian trading colony and archaeological site in central Turkey.
-
C.
Sumartin
Sumartin is a coastal village and ferry port on the eastern tip of the Croatian island of Brač, known for its quiet beaches and traditional fishing atmosphere.
-
D.
Heby
Heby is a small locality in central Sweden that serves as the main town and seat of Heby Municipality in Uppsala County.
-
E.
Harapha
Harapha is a boastful Philistine giant who serves as Samson’s arrogant antagonist in John Milton’s tragic closet drama "Samson Agonistes."
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f88a5dc8190a2d7830748e29180 |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2d0b3e7881908f195701fe222371 |
completed | May 9, 2026, 12:48 p.m. |
Created at: April 10, 2026, 3:34 a.m.