Triple
T9545757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eugenio María de Hostos Airport |
E230279
|
entity |
| Predicate | hasPushpinLabel |
P13793
|
FINISHED |
| Object | MAZ |
E805208
|
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: MAZ | Statement: [Eugenio María de Hostos Airport, hasPushpinLabel, MAZ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MAZ Context triple: [Eugenio María de Hostos Airport, hasPushpinLabel, MAZ]
-
A.
MAZ
chosen
MAZ is the IATA airport code for Eugenio María de Hostos Airport, a regional airport serving Mayagüez in western Puerto Rico.
-
B.
MZ
MZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Mozambique.
-
C.
Ma
Ma is a fictional character appearing in Enid Blyton’s children’s adventure novel "The Circus of Adventure."
-
D.
Ma
Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
-
E.
Ma
Ma is a 2019 psychological horror film starring Octavia Spencer as a lonely woman who befriends a group of teenagers with increasingly disturbing consequences.
- 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_69ca847c70b8819088a0a0bad64a50d6 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9901f2bc8190a4076f5947660df9 |
completed | April 1, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d161355e2c819099c8e6b974f97608 |
completed | April 4, 2026, 7:06 p.m. |
Created at: March 30, 2026, 8:01 p.m.