Triple
T4008553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Langworthy tram stop |
E89585
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
LAN
LAN is the station code used to identify the Langworthy tram stop on Greater Manchester’s Metrolink light rail network.
|
E406624
|
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: LAN | Statement: [Langworthy tram stop, hasStationCode, LAN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LAN Context triple: [Langworthy tram stop, hasStationCode, LAN]
-
A.
LAN
LAN is the ICAO airline designator used for flights operated by LATAM Airlines Group, a major Latin American airline conglomerate.
-
B.
LAN.SN
LAN.SN is the stock ticker symbol for the Chilean airline company LATAM Airlines Group (formerly LAN Airlines) on the Santiago Stock Exchange.
-
C.
Ethernet
Ethernet is a widely used wired networking technology that connects devices in local area networks (LANs) for high-speed, reliable data communication.
-
D.
NIC
NIC is the three-letter ISO 3166-1 alpha-3 country code assigned to Nicaragua.
-
E.
NIC
NIC is an abbreviation commonly used to refer to North Infirmary Command, a medical or correctional facility unit.
- 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: LAN Triple: [Langworthy tram stop, hasStationCode, LAN]
Generated description
LAN is the station code used to identify the Langworthy tram stop on Greater Manchester’s Metrolink light rail network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LAN Target entity description: LAN is the station code used to identify the Langworthy tram stop on Greater Manchester’s Metrolink light rail network.
-
A.
LAN
LAN is the ICAO airline designator used for flights operated by LATAM Airlines Group, a major Latin American airline conglomerate.
-
B.
LAN.SN
LAN.SN is the stock ticker symbol for the Chilean airline company LATAM Airlines Group (formerly LAN Airlines) on the Santiago Stock Exchange.
-
C.
Ethernet
Ethernet is a widely used wired networking technology that connects devices in local area networks (LANs) for high-speed, reliable data communication.
-
D.
NIC
NIC is the three-letter ISO 3166-1 alpha-3 country code assigned to Nicaragua.
-
E.
NIC
NIC is an abbreviation commonly used to refer to North Infirmary Command, a medical or correctional facility unit.
- 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_69aed9585e788190bec2d39deba3750f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa647f80819081180eb267f1cfcc |
completed | March 9, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c6ae0ec819099c229a4cfe926f2 |
completed | March 14, 2026, 11:54 a.m. |
| NEDg | Description generation | batch_69b54d41fa008190972411203c8a07f2 |
completed | March 14, 2026, 11:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b54de8dc708190b83978b15aed2e13 |
completed | March 14, 2026, noon |
Created at: March 9, 2026, 3:34 p.m.