Triple
T9951600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hattusili III |
E195342
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Labarnas |
E722269
|
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: Labarnas | Statement: [Hattusili III, title, Labarnas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Labarnas Context triple: [Hattusili III, title, Labarnas]
-
A.
Labarna
chosen
Labarna is a royal title used by Hittite kings, particularly associated with early rulers of the Hittite Old Kingdom.
-
B.
Hauran
Hauran is a historical region in southwestern Syria and northwestern Jordan, known for its fertile volcanic plains and ancient settlements.
-
C.
Laruns
Laruns is a commune in southwestern France nestled in the Pyrenees, known as a gateway to the Ossau Valley and nearby mountain passes and spa towns.
-
D.
Raybūn
Raybūn is an ancient settlement site in the Hadramawt region of Yemen, known from archaeological remains associated with the Hadramite civilization.
-
E.
Karlaplan
Karlaplan is a prominent circular plaza and park with a central fountain in the Östermalm district of Stockholm, Sweden.
- 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_69ca82e96a108190932bd1fc4acd73a0 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb6922f888190b5c4b58fbe21bea2 |
completed | April 2, 2026, 12:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d22933d26c8190937e4cbdbd8209dc |
completed | April 5, 2026, 9:19 a.m. |
Created at: March 30, 2026, 8:46 p.m.