Triple
T7873935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fa d’Ambô |
E182804
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Fá d’Ambô |
E182804
|
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: Fá d’Ambô | Statement: [Fa d’Ambô, alternativeName, Fá d’Ambô]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fá d’Ambô Context triple: [Fa d’Ambô, alternativeName, Fá d’Ambô]
-
A.
Fa d’Ambô
chosen
Fa d’Ambô is a Portuguese-based creole language spoken primarily on the island of Annobón in Equatorial Guinea.
-
B.
Fainall
Fainall is a central, scheming antagonist in William Congreve’s Restoration comedy "The Way of the World," known for his manipulative and duplicitous nature.
-
C.
Follaz
Follaz is a tributary stream of the Dranse river in the Alpine region of eastern France.
-
D.
Wendens Ambo
Wendens Ambo is a small historic village in Essex, England, known for its rural character and proximity to the town of Saffron Walden.
-
E.
De Amert
De Amert is an industrial area in Veghel, Netherlands, known for hosting a variety of manufacturing and logistics businesses.
- 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_69ca828a17248190b46defe758bc5ad3 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39a7f1648190980db4db1a800189 |
completed | March 31, 2026, 3:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b79705c8190955e128081048ebe |
completed | March 31, 2026, 5:28 a.m. |
Created at: March 30, 2026, 4:56 p.m.