Triple
T19608118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abdullah bin al-Husayn |
E470657
|
entity |
| Predicate | reignStartAsKingOfJordan |
P136446
|
FINISHED |
| Object | 1946-05-25 |
—
|
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: 1946-05-25 | Statement: [Abdullah bin al-Husayn, reignStartAsKingOfJordan, 1946-05-25]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reignStartAsKingOfJordan Context triple: [Abdullah bin al-Husayn, reignStartAsKingOfJordan, 1946-05-25]
-
A.
reignAsKingOfJerusalemStart
Indicates the time at which an individual begins their reign as king of Jerusalem.
-
B.
reignAsKingOfJerusalemEnd
Indicates the point in time or event at which an individual’s reign as king of Jerusalem comes to an end.
-
C.
reignAsEmirStart
Indicates the point in time when an individual begins their tenure or rule as an emir.
-
D.
reignStartAsKingOfBavaria
Indicates the date or point in time when an individual began their reign as King of Bavaria.
-
E.
reignStartAsKingOfDenmark
Indicates the time or event when an individual begins their rule as the king of Denmark.
- 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640c964fc8190bd1cb60f4b233eaa |
completed | April 20, 2026, 3:05 p.m. |
| PD | Predicate disambiguation | batch_69e514e166dc8190a0f147e0b4c8bbe7 |
completed | April 19, 2026, 5:46 p.m. |
| PDg | Predicate description generation | batch_69e5174b060c81908937ff9ff7fce611 |
completed | April 19, 2026, 5:56 p.m. |
Created at: April 10, 2026, 1:43 p.m.