Triple
T9117933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zócalo metro station |
E218769
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
ZOC
ZOC is the station code for Zócalo metro station on the Mexico City Metro system.
|
E779490
|
NE FINISHED |
How this triple was built (4 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: ZOC | Statement: [Zócalo metro station, hasStationCode, ZOC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZOC Context triple: [Zócalo metro station, hasStationCode, ZOC]
-
A.
ZCO
ZCO is the IATA airport code for La Araucanía International Airport, which serves the Temuco region in southern Chile.
-
B.
ZCS
ZCS is the public school district serving the town of Zionsville and surrounding areas in Indiana, known for strong academic performance and community involvement.
-
C.
OZD
OZD is the official abbreviation for the Netherlands Submarine Service, the branch of the Royal Netherlands Navy responsible for operating the country's submarine fleet.
-
D.
ZUM
ZUM is the IATA airport code for Churchill Falls Airport in Newfoundland and Labrador, Canada.
-
E.
Zog
Zog is a children's picture book by Julia Donaldson, illustrated by Axel Scheffler, about an eager young dragon learning at dragon school.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ZOC Triple: [Zócalo metro station, hasStationCode, ZOC]
Generated description
ZOC is the station code for Zócalo metro station on the Mexico City Metro system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ZOC Target entity description: ZOC is the station code for Zócalo metro station on the Mexico City Metro system.
-
A.
ZCO
ZCO is the IATA airport code for La Araucanía International Airport, which serves the Temuco region in southern Chile.
-
B.
ZCS
ZCS is the public school district serving the town of Zionsville and surrounding areas in Indiana, known for strong academic performance and community involvement.
-
C.
OZD
OZD is the official abbreviation for the Netherlands Submarine Service, the branch of the Royal Netherlands Navy responsible for operating the country's submarine fleet.
-
D.
ZUM
ZUM is the IATA airport code for Churchill Falls Airport in Newfoundland and Labrador, Canada.
-
E.
Zog
Zog is a children's picture book by Julia Donaldson, illustrated by Axel Scheffler, about an eager young dragon learning at dragon school.
- F. None of above. chosen
Provenance (5 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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8a5e2ac8190b602ef0c77deb2fa |
completed | April 1, 2026, 5:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0307c9f608190aad73bcf82ae334e |
completed | April 3, 2026, 9:26 p.m. |
| NEDg | Description generation | batch_69d0318ef52c8190bfa0bef6a8d41daa |
completed | April 3, 2026, 9:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d03571c4648190bd546152c61c55a5 |
completed | April 3, 2026, 9:47 p.m. |
Created at: March 30, 2026, 7:17 p.m.