Triple
T27241327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alalakh |
E687214
|
entity |
| Predicate | hasRuler |
P5424
|
FINISHED |
| Object |
Yarim-Lim of Alalakh
Yarim-Lim of Alalakh was a Bronze Age king of the city-state of Alalakh in northern Syria, known from cuneiform records as a regional ruler within the wider sphere of influence of the kingdom of Yamhad.
|
E1764185
|
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: Yarim-Lim of Alalakh | Statement: [Alalakh, hasRuler, Yarim-Lim of Alalakh]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yarim-Lim of Alalakh Triple: [Alalakh, hasRuler, Yarim-Lim of Alalakh]
Generated description
Yarim-Lim of Alalakh was a Bronze Age king of the city-state of Alalakh in northern Syria, known from cuneiform records as a regional ruler within the wider sphere of influence of the kingdom of Yamhad.
Provenance (5 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_69ef355547408190b5ca0d777c65040a |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f6267dd89c8190980652e0ceb9b896 |
completed | May 2, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1262794a9c8190b313f712af71018f |
completed | May 24, 2026, 2:29 a.m. |
| NEDg | Description generation | batch_6a12686ad9cc8190a4c36c60d8d99104 |
completed | May 24, 2026, 2:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a126901467481909e689c279e3516c1 |
completed | May 24, 2026, 2:57 a.m. |
Created at: April 27, 2026, 10:37 a.m.