Triple
T22523081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Synod of Diamper |
E556828
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object |
Udayamperoor
Udayamperoor is a town in the Ernakulam district of Kerala, India, historically notable as the site of the Synod of Diamper.
|
E1570599
|
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: Udayamperoor | Statement: [Synod of Diamper, location, Udayamperoor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Udayamperoor Context triple: [Synod of Diamper, location, Udayamperoor]
-
A.
Vazhakulam
Vazhakulam is a town in the Ernakulam district of Kerala, India, known especially for its large-scale pineapple cultivation and trade.
-
B.
Thrippunithura
Thrippunithura is a historic suburban town near Kochi in Kerala, India, known for its royal heritage, temples, and classical arts traditions.
-
C.
Changaramkulam
Changaramkulam is a prominent town in Kerala, India, known as a commercial and transport hub in the region.
-
D.
Mavelikkara
Mavelikkara is a town in the Alappuzha district of Kerala, India, known for its cultural heritage and historical significance.
-
E.
Kaduthuruthy
Kaduthuruthy is a town in the Kottayam district of Kerala, India, known for its historic temples and churches and its location near the Vembanad backwaters.
- 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: Udayamperoor Triple: [Synod of Diamper, location, Udayamperoor]
Generated description
Udayamperoor is a town in the Ernakulam district of Kerala, India, historically notable as the site of the Synod of Diamper.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Udayamperoor Target entity description: Udayamperoor is a town in the Ernakulam district of Kerala, India, historically notable as the site of the Synod of Diamper.
-
A.
Vazhakulam
Vazhakulam is a town in the Ernakulam district of Kerala, India, known especially for its large-scale pineapple cultivation and trade.
-
B.
Thrippunithura
Thrippunithura is a historic suburban town near Kochi in Kerala, India, known for its royal heritage, temples, and classical arts traditions.
-
C.
Changaramkulam
Changaramkulam is a prominent town in Kerala, India, known as a commercial and transport hub in the region.
-
D.
Mavelikkara
Mavelikkara is a town in the Alappuzha district of Kerala, India, known for its cultural heritage and historical significance.
-
E.
Kaduthuruthy
Kaduthuruthy is a town in the Kottayam district of Kerala, India, known for its historic temples and churches and its location near the Vembanad backwaters.
- 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_69e11e5657e881909f16ca58352c50da |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15e338dfc819082e1eeede3805fb9 |
completed | April 29, 2026, 1:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c23cb8d4c8190a9734373347ab25f |
completed | May 19, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_6a0c272d23a881909da657509f51cd71 |
completed | May 19, 2026, 9:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c27aa2ce0819097ed29d8b89aef6e |
completed | May 19, 2026, 9:04 a.m. |
Created at: April 16, 2026, 8:50 p.m.