Triple
T3362945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mansion House Underground station |
E70765
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
ZMH
ZMH is the three-letter station code used to identify Mansion House Underground station on the London Underground network.
|
E351290
|
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: ZMH | Statement: [Mansion House Underground station, hasStationCode, ZMH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZMH Context triple: [Mansion House Underground station, hasStationCode, ZMH]
-
A.
ZM
ZM is the stock ticker symbol for Zoom Video Communications, a leading provider of cloud-based video conferencing and online collaboration services.
-
B.
MZ
MZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Mozambique.
-
C.
ZMB
ZMB is the three-letter ISO 3166-1 alpha-3 country code assigned to Zambia.
-
D.
ZH
ZH is the official vehicle registration code used for the Swiss canton of Zurich.
-
E.
ZBH
ZBH is the stock ticker symbol for Zimmer Biomet Holdings, Inc., a major medical device company specializing in musculoskeletal healthcare products.
- 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: ZMH Triple: [Mansion House Underground station, hasStationCode, ZMH]
Generated description
ZMH is the three-letter station code used to identify Mansion House Underground station on the London Underground network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ZMH Target entity description: ZMH is the three-letter station code used to identify Mansion House Underground station on the London Underground network.
-
A.
ZM
ZM is the stock ticker symbol for Zoom Video Communications, a leading provider of cloud-based video conferencing and online collaboration services.
-
B.
MZ
MZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Mozambique.
-
C.
ZMB
ZMB is the three-letter ISO 3166-1 alpha-3 country code assigned to Zambia.
-
D.
ZH
ZH is the official vehicle registration code used for the Swiss canton of Zurich.
-
E.
ZBH
ZBH is the stock ticker symbol for Zimmer Biomet Holdings, Inc., a major medical device company specializing in musculoskeletal healthcare products.
- 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_69ad85a660c48190998489309a3b4869 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb26a5a508190948932769de0dbb3 |
completed | March 8, 2026, 5:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b32549eb9c81908c3a525da9eab0aa |
completed | March 12, 2026, 8:42 p.m. |
| NEDg | Description generation | batch_69b325aecee081908109928766283c9a |
completed | March 12, 2026, 8:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b326175b38819083f1e62be7e01c8a |
completed | March 12, 2026, 8:46 p.m. |
Created at: March 8, 2026, 3:13 p.m.