Triple
T11525875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ASFAR |
E273293
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | ASFAR |
E273293
|
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: ASFAR | Statement: [ASFAR, shortName, ASFAR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ASFAR Context triple: [ASFAR, shortName, ASFAR]
-
A.
ASFAR
chosen
ASFAR is a prominent Moroccan football club based in Rabat, known for its strong domestic record and association with the Royal Moroccan Armed Forces.
-
B.
Saho-Afar
Saho-Afar is an alternative name for the Saho language spoken primarily in Eritrea and neighboring regions.
-
C.
AFRALO
AFRALO is the African Regional At-Large Organization within ICANN, representing the interests of individual Internet users across the African region in global Internet governance.
-
D.
Asfar
Asfar is an Israeli settlement in the Gush Etzion bloc located in the southern West Bank.
-
E.
AfA
AfA is the abbreviation for the Arbeitsgemeinschaft für Arbeitnehmerfragen, a labor-oriented working group within Germany’s Social Democratic Party (SPD) that represents employees’ interests.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d87fd379648190b342e0c4b4f685b7 |
completed | April 10, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e62562efb88190bbf3c7bbec8233aa |
completed | April 20, 2026, 1:08 p.m. |
Created at: April 8, 2026, 9:37 p.m.