Triple
T17777759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panteones |
E443815
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
PNO
PNO is the station code for Panteones, a station on the Mexico City Metro system.
|
E1286664
|
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: PNO | Statement: [Panteones, hasStationCode, PNO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PNO Context triple: [Panteones, hasStationCode, PNO]
-
A.
PNE
PNE is a professional football club based in Preston, Lancashire, England, known for being one of the founding members of the English Football League.
-
B.
PNE
PNE is the National Rail station code for Penge East railway station in south London, England.
-
C.
PNE
PNE is the IATA airport code for Northeast Philadelphia Airport, a public airport serving the northeastern section of Philadelphia, Pennsylvania.
-
D.
PNQ
PNQ is the IATA airport code for Pune International Airport, a major civilian and military air hub serving the city of Pune in Maharashtra, India.
-
E.
POU
POU is the IATA airport code for Hudson Valley Regional Airport, a public airport serving the Poughkeepsie area in New York’s Hudson Valley.
- 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: PNO Triple: [Panteones, hasStationCode, PNO]
Generated description
PNO is the station code for Panteones, a station on the Mexico City Metro system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PNO Target entity description: PNO is the station code for Panteones, a station on the Mexico City Metro system.
-
A.
PNE
PNE is a professional football club based in Preston, Lancashire, England, known for being one of the founding members of the English Football League.
-
B.
PNE
PNE is the National Rail station code for Penge East railway station in south London, England.
-
C.
PNE
PNE is the IATA airport code for Northeast Philadelphia Airport, a public airport serving the northeastern section of Philadelphia, Pennsylvania.
-
D.
PNQ
PNQ is the IATA airport code for Pune International Airport, a major civilian and military air hub serving the city of Pune in Maharashtra, India.
-
E.
POU
POU is the IATA airport code for Hudson Valley Regional Airport, a public airport serving the Poughkeepsie area in New York’s Hudson Valley.
- 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4871e06a481909cf6d59e49dc21c5 |
completed | April 19, 2026, 7:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02efc9c0e88190977da0421df6b1a7 |
completed | May 12, 2026, 9:15 a.m. |
| NEDg | Description generation | batch_6a02f08892e08190a75c4e523366feda |
completed | May 12, 2026, 9:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02f18036788190ad1a2893fd104261 |
completed | May 12, 2026, 9:23 a.m. |
Created at: April 10, 2026, 10:12 a.m.