Triple
T14798477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marquis of Vega de Armijo |
E347841
|
entity |
| Predicate | associatedSurname |
P49952
|
FINISHED |
| Object | Messía |
E1120661
|
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: Messía | Statement: [Marquis of Vega de Armijo, associatedSurname, Messía]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Messía Context triple: [Marquis of Vega de Armijo, associatedSurname, Messía]
-
A.
Messía
chosen
Messía is a Spanish surname historically associated with noble lineages such as the Messía de la Cerda family.
-
B.
القدوس
القدوس هو أحد أسماء الله الحسنى في الإسلام، ويعبّر عن كمال طهارته وتنزّهه عن كل نقص وعيب.
-
C.
Imías
Imías is a small coastal municipality and town in southeastern Cuba known for its rural character and location within Guantánamo Province.
-
D.
Jeru the Damaja
Jeru the Damaja is a Brooklyn-born American rapper known for his socially conscious lyrics, complex wordplay, and influential work in 1990s East Coast hip hop.
-
E.
Reis Magos
Reis Magos is a coastal village in North Goa, India, best known for its historic fort and church overlooking the Mandovi River.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decd6131f08190885f1d27b4bfac7a |
completed | April 14, 2026, 11:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe389183a881908e6af44b71f81ace |
completed | May 8, 2026, 7:25 p.m. |
Created at: April 10, 2026, 1:31 a.m.