Triple
T2149708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meknes |
E47150
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Fes |
E12903
|
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: Fes | Statement: [Meknes, nearbyCity, Fes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fes Context triple: [Meknes, nearbyCity, Fes]
-
A.
Fez
chosen
Fez is a historic imperial city in northern Morocco renowned for its well-preserved medieval medina, traditional craftsmanship, and status as a major cultural and religious center.
-
B.
Fagasa
Fagasa is a coastal village on the island of Tutuila in American Samoa, known for its scenic bay and surrounding rainforest-covered hills.
-
C.
Foix
Foix is a historic town in southwestern France known for its medieval castle and role as the former capital of the County of Foix.
-
D.
Fertagus
Fertagus is a private suburban rail operator serving the Lisbon metropolitan area, notably running commuter trains across the 25 de Abril Bridge between Lisbon and the Setúbal Peninsula.
-
E.
Felanitx
Felanitx is a historic inland town and wine-producing municipality in the southeast of the Spanish island of Mallorca.
- 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_69a88a1933e0819094f18426ed74180f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe45dbf481909c0da056a1a99ece |
completed | March 7, 2026, 5:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58dc0b608190b5c6aed5b6b034fd |
completed | March 9, 2026, 5:21 a.m. |
Created at: March 4, 2026, 7:44 p.m.