Triple
T23365399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tain railway station |
E593302
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
TAIN
TAIN is the National Rail station code for Tain railway station in the Scottish Highlands.
|
E1583121
|
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: TAIN | Statement: [Tain railway station, hasStationCode, TAIN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TAIN Context triple: [Tain railway station, hasStationCode, TAIN]
-
A.
Tainaste
Tainaste is a small settlement located in the Middle Atlas region of Morocco, near the mountain Jbel Bou Naceur.
-
B.
TAI
TAI is the high-precision time standard used worldwide as the basis for civil timekeeping and scientific measurements.
-
C.
TAI
TAI is the ICAO airline designator assigned to TACA Airlines, a major Central American carrier.
-
D.
TAI
TAI is a music producer known for electronic and dance tracks, including collaborations with artists such as Kamikaze.
-
E.
TAI
TAI is the IATA airport code for Taiz International Airport, a public airport serving the city of Taiz in Yemen.
- 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: TAIN Triple: [Tain railway station, hasStationCode, TAIN]
Generated description
TAIN is the National Rail station code for Tain railway station in the Scottish Highlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TAIN Target entity description: TAIN is the National Rail station code for Tain railway station in the Scottish Highlands.
-
A.
Tainaste
Tainaste is a small settlement located in the Middle Atlas region of Morocco, near the mountain Jbel Bou Naceur.
-
B.
TAI
TAI is the high-precision time standard used worldwide as the basis for civil timekeeping and scientific measurements.
-
C.
TAI
TAI is the ICAO airline designator assigned to TACA Airlines, a major Central American carrier.
-
D.
TAI
TAI is a music producer known for electronic and dance tracks, including collaborations with artists such as Kamikaze.
-
E.
TAI
TAI is the IATA airport code for Taiz International Airport, a public airport serving the city of Taiz in Yemen.
- 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a0ab7fc481908b496ec9b543eddd |
completed | April 29, 2026, 6:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5dd78f508190b3b83e4cc2625163 |
completed | May 19, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_6a0c60473de0819096d3b4e35da16295 |
completed | May 19, 2026, 1:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c60b52fe88190854803902df750c5 |
completed | May 19, 2026, 1:08 p.m. |
Created at: April 17, 2026, 5:31 p.m.