Triple
T36384862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abu Zakariya Yahya I |
E896160
|
entity |
| Predicate | madeTunis |
P185423
|
FINISHED |
| Object | major power center in the central Maghreb |
—
|
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: major power center in the central Maghreb | Statement: [Abu Zakariya Yahya I, madeTunis, major power center in the central Maghreb]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: madeTunis Context triple: [Abu Zakariya Yahya I, madeTunis, major power center in the central Maghreb]
-
A.
successorInTunisia
Indicates that one entity directly follows another in holding a particular role, position, or office within the context of Tunisia.
-
B.
MoroccanConcession
Indicates a diplomatic or commercial concession granted in the context of Moroccan affairs or territory.
-
C.
roleInKairouan
Indicates that an entity holds or held a specific role, position, or function in relation to Kairouan.
-
D.
madeÉtoileBy
Indicates that something was created or produced by an entity named Étoile.
-
E.
distanceToTunis
Indicates the spatial distance between a given entity’s location and the city of Tunis.
- 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_69f76e51d358819092bbc5f119f49476 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69f7be9b9ab481908328e0e8d8ac73d4 |
completed | May 3, 2026, 9:31 p.m. |
Created at: May 3, 2026, 4:10 p.m.