Triple
T14290822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple Underground station |
E354303
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
TMP
TMP is the National Rail station code assigned to Temple Underground station on the London Underground network.
|
E1092284
|
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: TMP | Statement: [Temple Underground station, hasStationCode, TMP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TMP Context triple: [Temple Underground station, hasStationCode, TMP]
-
A.
TMP
TMP is the IATA airport code for Tampere–Pirkkala Airport in Tampere, Finland.
-
B.
TM
TM is the New York Stock Exchange ticker symbol for Toyota Motor Corporation, the Japanese multinational automotive manufacturer.
-
C.
.tm
.tm is the country code top-level domain (ccTLD) assigned to Turkmenistan, also popularly used worldwide for websites related to trademarks.
-
D.
TMPD
TMPD is the acronym for the Tokyo Metropolitan Police Department, the primary law enforcement agency responsible for policing Japan’s capital city and surrounding metropolitan area.
-
E.
TP
TP is a hip-hop artist affiliated with the independent rap label Jamla Records, known for its roster of lyrically focused and soulful acts.
- 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: TMP Triple: [Temple Underground station, hasStationCode, TMP]
Generated description
TMP is the National Rail station code assigned to Temple Underground station on the London Underground network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TMP Target entity description: TMP is the National Rail station code assigned to Temple Underground station on the London Underground network.
-
A.
TMP
TMP is the IATA airport code for Tampere–Pirkkala Airport in Tampere, Finland.
-
B.
TM
TM is the New York Stock Exchange ticker symbol for Toyota Motor Corporation, the Japanese multinational automotive manufacturer.
-
C.
.tm
.tm is the country code top-level domain (ccTLD) assigned to Turkmenistan, also popularly used worldwide for websites related to trademarks.
-
D.
TMPD
TMPD is the acronym for the Tokyo Metropolitan Police Department, the primary law enforcement agency responsible for policing Japan’s capital city and surrounding metropolitan area.
-
E.
TP
TP is a hip-hop artist affiliated with the independent rap label Jamla Records, known for its roster of lyrically focused and soulful acts.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6981e9148190baf2ed56a7b7340e |
completed | April 14, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d1fee448190bcafb37dd6618d60 |
completed | May 8, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69fd3e5f333c8190bdce30a813bea59e |
completed | May 8, 2026, 1:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd3ed1fe288190b83dc432b61f0b4f |
completed | May 8, 2026, 1:39 a.m. |
Created at: April 10, 2026, 1:11 a.m.